{"slug": "holo4d-holistic-4d-reconstruction-as-geometric-control-for-video-diffusion", "title": "Holo4D: Holistic 4D Reconstruction as Geometric Control for Video Diffusion", "summary": "Researchers introduced Holo4D, a method that uses holistic 4D reconstruction as geometric control for video diffusion, addressing the problem of synthesizing a monocular video from a new camera trajectory while preserving observed scene geometry and motion and completing newly visible regions. The approach combines feed-forward 4D reconstructors, which recover the structure of the observed scene, with video diffusion models that supply generative priors. The work targets the gap between reconstruction and generation for novel-view video synthesis.", "body_md": "Synthesizing a monocular video from a new camera trajectory requires preserving the observed scene geometry and motion while completing regions that become newly visible. Feed-forward 4D reconstructors recover the structure of the observed scene, whereas video diffusion models provide a generative p", "url": "https://wpnews.pro/news/holo4d-holistic-4d-reconstruction-as-geometric-control-for-video-diffusion", "canonical_source": "https://aiflash.com/news/142363/", "published_at": "2026-10-30 11:30:04+00:00", "updated_at": "2026-10-30 11:48:51.395489+00:00", "lang": "en", "topics": ["computer-vision", "generative-ai", "ai-research", "artificial-intelligence"], "entities": ["Holo4D"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/holo4d-holistic-4d-reconstruction-as-geometric-control-for-video-diffusion", "markdown": "https://wpnews.pro/news/holo4d-holistic-4d-reconstruction-as-geometric-control-for-video-diffusion.md", "text": "https://wpnews.pro/news/holo4d-holistic-4d-reconstruction-as-geometric-control-for-video-diffusion.txt", "jsonld": "https://wpnews.pro/news/holo4d-holistic-4d-reconstruction-as-geometric-control-for-video-diffusion.jsonld"}}